Ari Kobren
Principal Research Scientist at Oracle
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolAri Kobren is a graduate student at UMass Amherst specializing in machine learning and natural language processing, blending academic research with hands-on software engineering across 12 years of experience. He has contributed to Factorie, a Scala toolkit for probabilistic modeling, adding human-edit support to coreference resolution and demonstrating his ability to extend complex ML systems. His background spans industry and research, including a Google Software Engineering Internship focused on ML and crowdsourcing and a prior role at MIT Lincoln Laboratory where he developed NLP tools and earned Secret-Level security clearance. He co-founded FindJoey, a campus shuttle service that reached over 250,000 uses with more than 5,000 unique users, underscoring entrepreneurial drive and practical deployment experience. He holds a B.S. in Computer Science Engineering from Tufts and is pursuing MS/PhD in CS at UMass Amherst, reflecting a strong research trajectory. Based in Northampton, Massachusetts, he brings a rare mix of research depth, production software development, and startup spirit to ML/NLP projects.
13 years of coding experience
2 years of employment as a software developer
Bachelor of Science, Computer Science Engineering, Bachelor of Science, Computer Science Engineering at Tufts UniversityUniversity of Massachusetts Amherst
Hebrew
Github Skills (5)
scala10
computer-engineering9
machine-learning9
data-structures8
data-structure8
Programming languages (6)
Github contributions (5)
factorie/factorie
Dec 2012 - May 2013
FACTORIE is a toolkit for deployable probabilistic modeling, implemented as a software library in Scala. It provides its users with a succinct language for creating relational factor graphs, estimating parameters and performing inference.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:14 commits in 5 months
Contributions summary:Ari's commits primarily focus on incorporating functionality to handle human edits within the Factorie toolkit. They've added classes and templates related to user reliability, edit sets, and the integration of human edits into the coreference resolution system. The user's changes involve modifications to existing data structures and code within the `HumanEdits.scala`, `Coref.scala`, and `Experiments.scala` files. They also made code changes to facilitate a user reliability experiment.
library-softwareparametersrelationaldeployableprobabilistic-modeling
akobre01/akobre01.github.io
Apr 2017 - Nov 2024
Contributions:99 pushes, 4 branches in 7 years 8 months
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